A possible method of de-noising the likelihood lies in generative modeling. Generative modeling has shown great success in de-noising and super resolution tasks [1]}, [2]}, [3]}, [4]}, [5]}. Generating an accurate de-noised distribution function from PIC codes which encapsulates the underlying physics and matches the results predicted by continuum codes, would introduce a reliable method for cross-code validation as well as cut costs by allowing for inference on commodity hardware.
